Search Results for author: Daniel Andrés Díaz-Pachón

Found 3 papers, 1 papers with code

Algorithmic Information Forecastability

no code implementations21 Apr 2023 Glauco Amigo, Daniel Andrés Díaz-Pachón, Robert J. Marks, Charles Baylis

The outcome of all time series cannot be forecast, e. g. the flipping of a fair coin.

Time Series

"Back to the future" projections for COVID-19 surges

1 code implementation17 Feb 2022 J. Sunil Rao, Tianhao Liu, Daniel Andrés Díaz-Pachón

We argue that information from countries who had earlier COVID-19 surges can be used to inform another country's current model, then generating what we call back-to-the-future (BTF) projections.

Time Series Time Series Analysis

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